What this script does: - proceeds from output of preprocessing script - plots Sorting and Causal Task rdms, gets correlations with models RDM, gets within subject correlations
the tris show a mixture of what you are causing and what is being caused. the more top right you are, the more you’re showing what you cause, and the lower you are, the more you’re showing being caused top half of items: your the cause mostly, middle item: equal likelihood, bottom half: your ethe effect mostly
## mind → action: mean distance = 0.323 [95% CI: 0.309, 0.337]
## action → mind: mean distance = 0.415 [95% CI: 0.399, 0.431]
## action → action: mean distance = 0.611 [95% CI: 0.592, 0.630]
## body → body: mean distance = 0.381 [95% CI: 0.362, 0.400]
## body → action: mean distance = 0.442 [95% CI: 0.424, 0.460]
## action → body: mean distance = 0.427 [95% CI: 0.410, 0.445]
## perception → cognition: mean distance = 0.149 [95% CI: 0.130, 0.167]
## cognition → perception: mean distance = 0.477 [95% CI: 0.442, 0.512]
## seeing → sick: mean distance = 0.390 [95% CI: 0.300, 0.481]
## hearing → sick: mean distance = 0.606 [95% CI: 0.514, 0.697]
## [1] 0.03372421
##
## One Sample t-test
##
## data: subject_correlations
## t = 3.9823, df = 49, p-value = 0.0002258
## alternative hypothesis: true mean is not equal to 0
## 95 percent confidence interval:
## 0.01670612 0.05074230
## sample estimates:
## mean of x
## 0.03372421
seem fine, so no need for perm test
##
## Shapiro-Wilk normality test
##
## data: subject_correlations
## W = 0.95551, p-value = 0.05768
## $upper_bound
## [1] 0.2596685
##
## $lower_bound
## [1] 0.2595976
## $upper_tri_upper_bound
## [1] 0.4409539
##
## $upper_tri_lower_bound
## [1] 0.4413385
##
## $lower_tri_upper_bound
## [1] 0.4124777
##
## $lower_tri_lower_bound
## [1] 0.4130283
## # A tibble: 8 × 5
## method correlation_type mean_mean_correlation t_value p_value
## <fct> <chr> <dbl> <dbl> <dbl>
## 1 Sorting Task 2 Category 0.144 5.99 2.39e- 7
## 2 Sorting Task 3 Category 0.254 9.76 4.51e-13
## 3 Sorting Task 6 Category 0.194 11.1 5.77e-15
## 4 Sorting Task Cosine Similarity 0.130 7.95 2.29e-10
## 5 Causal Task 2 Category -0.0823 -4.96 8.90e- 6
## 6 Causal Task 3 Category -0.0357 -2.93 5.10e- 3
## 7 Causal Task 6 Category -0.0569 -6.20 1.16e- 7
## 8 Causal Task Cosine Similarity -0.0797 -7.49 1.14e- 9
## [1] "Corr(causal rdm Causal Task first, causal rdm Sorting Task first): 0.951633021558085"
## [1] "Corr(freesort rdm Causal Task first, freesort rdm Sorting Task first): 0.861761299764209"
## [1] "correlation difference: 0.0898717217938758"
## [1] -0.05419336
## [1] "Corr(causal rdm Causal Task first, freesort rdm Causal Task first): -0.0541933616487223"
## [1] "Corr(causal rdm Sorting Task first, freesort rdm Sorting Task first): 0.0304316889389261"
## [1] 0.08462505
## [1] "Correlation difference: 0.0846250505876484"
## [1] "Z-score: 0.207441401412369"
## [1] "P-value: 0.83566515206997"